Artificial Intelligence and Machine Learning

While many worried that automation would lead to unprecedented levels of unemployment, the b uilt e nvironment in 2040 is powered both by a growing skilled workforce and supported by automation. More people than ever are now in employment, a change that happened rapidly in response to the Green New Deal and other post-...

fourfutures_onechoice_2020._png.png Four Futures, One Choice uses a futures thinking methodology to explore four scenarios for the digital built environment in the year 2040, hinging on the age demographics in the UK and the achievement of the Sustainable Development Goals. It demonstrates that a complex web of factors...

screenshot_2020-12-11_at_11.11.09.png Four Futures, One Choice provokes us with a future lens enabling us to view, with clarity and detail, four scenarios of what Britain could look like in 2040, depending upon the decisions that are made now, in these unprecedented times of opportunity. It presents us with four compelling...

Construction must adopt digital tools to prepare the way for information and automation technologies that deliver value . Professor Rafael Sacks , Visiting Professor at CDBB, and Ashtrom Engineering Company Chair in Civil Engineering at the   Technion , Israel Institute of Technology, sets out the House of Construction...

Cambridge researchers are part of a collaborative project tasked with developing models, infrastructure and machine learning algorithms for capturing mobility, transportation and traffic activity in London, as the COVID-19 pandemic lockdown eases. Project Odysseus , led by The Alan Turing Institute , aims to better...